NOMA-based vehicle edge computing network optimization method and system, medium and application

An edge computing and network optimization technology, applied in the field of communication, can solve the problems of long task processing delay and high energy consumption, and achieve the effect of reducing cost consumption, improving performance and reducing total cost

Pending Publication Date: 2021-06-29
XIAN UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Through the above analysis, the problems and defects of the existing technology are: the existing Internet of Vehicles has long task processing delay and high energy consumption

Method used

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  • NOMA-based vehicle edge computing network optimization method and system, medium and application
  • NOMA-based vehicle edge computing network optimization method and system, medium and application
  • NOMA-based vehicle edge computing network optimization method and system, medium and application

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Embodiment 1

[0085] The present invention proposes a collaborative optimization unloading decision-making, user clustering, power control, and computing resource block allocation method in a vehicle edge computing system based on non-orthogonal multiple access. Under the condition of ensuring the QoS requirements of user task processing delay, To minimize the total economic cost of the user.

[0086] The specific idea of ​​the present invention to achieve the above purpose is: aiming at the mixed integer nonlinear characteristics of the problem, first decompose the problem into sub-problems, and then propose a low-complexity heuristic algorithm to sequentially optimize unloading decision, user clustering, power control and Compute resource allocation.

[0087] 1. The user unloading decision, user clustering and power allocation method in the non-orthogonal multiple access-based vehicle edge computing system adopted by the present invention comprises the following steps:

[0088] Step 1: I...

Embodiment 2

[0114] image 3 is a scene graph to which the method of the present invention is applicable. A single-lane highway is covered by several APs (AccessPoints) and the coverage of each AP is D g , an edge computing server is deployed on each AP. Considering a specific AP, within its coverage area, N vehicle users are randomly distributed, and the initial position of each vehicle is recorded as (unit: m), all vehicles travel at a constant speed v (unit: m / s). The set of all users is denoted as Each user n has a computationally intensive intelligent application, denoted as where D n Indicates the amount of input data of the task, and its unit is bit; C n Indicates the amount of tasks, that is, the number of CPU cycles required to complete the task, and its unit is CPUcycles; O n Indicates the amount of data output after the task is executed, and its unit is bit; Indicates the maximum tolerable delay to successfully execute the task, and its unit is s. All vehicles have ...

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Abstract

The invention belongs to the technical field of communication, and discloses an NOMA-based vehicle edge computing network optimization method and system, a medium and application. The vehicle edge computing network optimization method comprises the steps: initializing parameters; calculating local processing time of a task; arranging all users needing to execute task unloading in a descending order according to channel gains; executing user clustering; sending the last user in each cluster by adopting the maximum power; after the sending power of the last user is determined, the previous user taking the sending power meeting the maximum time delay requirement; obtaining the power of the (M-2) th user until the sending power of the first user; and finishing the algorithm execution to obtain a user clustering and power distribution strategy. According to the invention, the total cost of the system can be effectively reduced, the total economic overhead of the users is minimized and the cost consumption is reduced through joint optimization of collaborative unloading decision, user clustering, power control and computing resource allocation on the premise of ensuring the task execution time delay of the users.

Description

technical field [0001] The invention belongs to the field of communication technology, and in particular relates to a NOMA-based vehicle edge computing network optimization method, system, medium and application. Background technique [0002] At present, mobile edge computing (MEC) technology provides users with ultra-low latency and high bandwidth network services by deploying computing and storage resources at the edge of the network, alleviating the impact of latency in the network, and combining MEC with the Internet of Vehicles It can reduce the problems of task processing delay and energy consumption. Non-orthogonal multiple access (NOMA) allows different end users to share the same resources such as spectrum, time and space for parallel transmission, and cancels the interference by performing serial interference cancellation (SIC, Successive Interference Cancellation) at the receiving end, so as to realize Correctly demodulated, it can improve spectrum utilization, r...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): H04W4/44H04W52/34H04W52/24
CPCH04W4/44H04W52/346H04W52/242
Inventor杜剑波薛哪哪李树磊卢光跃姜静梁彦霞何华梁思远和煦程远征任德锋
OwnerXIAN UNIV OF POSTS & TELECOMM